Overview

Brought to you by YData

Dataset statistics

Number of variables	31
Number of observations	50000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	11.8 MiB
Average record size in memory	248.0 B

Variable types

Numeric	21
DateTime	1
Categorical	7
Text	2

Alerts

`avg_stars_top_3_players` is highly overall correlated with `playtime` and 2 other fields	High correlation
`days_active_first_28_days_after_registration` is highly overall correlated with `playtime`	High correlation
`money_stash` is highly overall correlated with `rests_stash`	High correlation
`morale_spent` is highly overall correlated with `playtime` and 2 other fields	High correlation
`playtime` is highly overall correlated with `avg_stars_top_3_players` and 8 other fields	High correlation
`registration_device_type` is highly overall correlated with `registration_platform_specific` and 1 other fields	High correlation
`registration_platform_specific` is highly overall correlated with `registration_device_type` and 1 other fields	High correlation
`registration_store` is highly overall correlated with `registration_device_type` and 1 other fields	High correlation
`rests_spent` is highly overall correlated with `morale_spent` and 3 other fields	High correlation
`rests_stash` is highly overall correlated with `money_stash`	High correlation
`session_count` is highly overall correlated with `playtime`	High correlation
`tokens_bought` is highly overall correlated with `transaction_count_iap`	High correlation
`tokens_spent` is highly overall correlated with `avg_stars_top_3_players` and 4 other fields	High correlation
`tokens_stash` is highly overall correlated with `tokens_spent`	High correlation
`total_match_played_count` is highly overall correlated with `total_match_watched_count`	High correlation
`total_match_watched_count` is highly overall correlated with `playtime` and 1 other fields	High correlation
`training_count` is highly overall correlated with `avg_stars_top_3_players` and 5 other fields	High correlation
`transaction_count_iap` is highly overall correlated with `tokens_bought`	High correlation
`transaction_count_rewarded_video` is highly overall correlated with `playtime` and 1 other fields	High correlation
`registration_platform_specific` is highly imbalanced (52.8%)	Imbalance
`registration_store` is highly imbalanced (61.9%)	Imbalance
`registration_device_type` is highly imbalanced (68.3%)	Imbalance
`number_of_devices_used` is highly imbalanced (95.2%)	Imbalance
`transaction_count_iap` is highly skewed (γ1 = 22.60004975)	Skewed
`tokens_spent` is highly skewed (γ1 = 52.9815726)	Skewed
`tokens_bought` is highly skewed (γ1 = 167.0483388)	Skewed
`user_id` has unique values	Unique
`total_match_played_count` has 20918 (41.8%) zeros	Zeros
`total_match_watched_count` has 39284 (78.6%) zeros	Zeros
`transaction_count_iap` has 49445 (98.9%) zeros	Zeros
`transaction_count_rewarded_video` has 34493 (69.0%) zeros	Zeros
`tokens_spent` has 20335 (40.7%) zeros	Zeros
`tokens_stash` has 965 (1.9%) zeros	Zeros
`tokens_bought` has 49700 (99.4%) zeros	Zeros
`rests_spent` has 31205 (62.4%) zeros	Zeros
`morale_spent` has 33901 (67.8%) zeros	Zeros
`training_count` has 18588 (37.2%) zeros	Zeros
`days_active_first_28_days_after_registration` has 17491 (35.0%) zeros	Zeros
`transaction_count_iap_lifetime` has 43825 (87.6%) zeros	Zeros

Reproduction

Analysis started	2024-11-08 10:14:39.758379
Analysis finished	2024-11-08 10:18:14.709855
Duration	3 minutes and 34.95 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

user_id
Real number (ℝ)

Unique

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	109844.24

Minimum	5
Maximum	218956
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	5
5-th percentile	11092.85
Q1	55070.75
median	109571
Q3	165091.75
95-th percentile	208097.4
Maximum	218956
Range	218951
Interquartile range (IQR)	110021

Descriptive statistics

Standard deviation	63219.004
Coefficient of variation (CV)	0.57553318
Kurtosis	-1.2037434
Mean	109844.24
Median Absolute Deviation (MAD)	55047.5
Skewness	-0.0066246035
Sum	5.492212 × 10⁹
Variance	3.9966425 × 10⁹
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	1	< 0.1%
147047	1	< 0.1%
146983	1	< 0.1%
146991	1	< 0.1%
146993	1	< 0.1%
146994	1	< 0.1%
147005	1	< 0.1%
147006	1	< 0.1%
147009	1	< 0.1%
147010	1	< 0.1%
Other values (49990)	49990	> 99.9%

Value	Count	Frequency (%)
5	1	< 0.1%
7	1	< 0.1%
13	1	< 0.1%
23	1	< 0.1%
25	1	< 0.1%
34	1	< 0.1%
35	1	< 0.1%
36	1	< 0.1%
39	1	< 0.1%
45	1	< 0.1%

Value	Count	Frequency (%)
218956	1	< 0.1%
218949	1	< 0.1%
218948	1	< 0.1%
218947	1	< 0.1%
218943	1	< 0.1%
218939	1	< 0.1%
218932	1	< 0.1%
218925	1	< 0.1%
218924	1	< 0.1%
218923	1	< 0.1%

registration_time_utc
Date

Distinct	49410
Distinct (%)	98.8%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Minimum	2024-05-19 00:00:59
Maximum	2024-06-15 23:59:50

Histogram with fixed size bins (bins=50)

registration_platform_specific
Categorical

High correlation Imbalance

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Android Phone	34799
iOS Phone	10895
Android Tablet	1582
iOS Tablet	1309
UniversalWindows PC	755
Other values (2)	660

Length

Max length	19
Median length	13
Mean length	12.1887
Min length	9

Characters and Unicode

Total characters	609435
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	iOS Phone
2nd row	Android Phone
3rd row	Android Phone
4th row	Android Phone
5th row	iOS Phone

Common Values

Value	Count	Frequency (%)
Android Phone	34799	69.6%
iOS Phone	10895	21.8%
Android Tablet	1582	3.2%
iOS Tablet	1309	2.6%
UniversalWindows PC	755	1.5%
WebGL FB Canvas	415	0.8%
WebGL TE Site	245	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
phone	45694	45.4%
android	36381	36.1%
ios	12204	12.1%
tablet	2891	2.9%
universalwindows	755	0.8%
pc	755	0.8%
webgl	660	0.7%
fb	415	0.4%
canvas	415	0.4%
te	245	0.2%

Most occurring characters

Value	Count	Frequency (%)
n	84000	13.8%
o	82830	13.6%
d	73517	12.1%
	50660	8.3%
i	50340	8.3%
e	50245	8.2%
P	46449	7.6%
h	45694	7.5%
r	37136	6.1%
A	36381	6.0%
Other values (18)	52183	8.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	609435	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	84000	13.8%
o	82830	13.6%
d	73517	12.1%
	50660	8.3%
i	50340	8.3%
e	50245	8.2%
P	46449	7.6%
h	45694	7.5%
r	37136	6.1%
A	36381	6.0%
Other values (18)	52183	8.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	609435	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	84000	13.8%
o	82830	13.6%
d	73517	12.1%
	50660	8.3%
i	50340	8.3%
e	50245	8.2%
P	46449	7.6%
h	45694	7.5%
r	37136	6.1%
A	36381	6.0%
Other values (18)	52183	8.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	609435	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	84000	13.8%
o	82830	13.6%
d	73517	12.1%
	50660	8.3%
i	50340	8.3%
e	50245	8.2%
P	46449	7.6%
h	45694	7.5%
r	37136	6.1%
A	36381	6.0%
Other values (18)	52183	8.6%

registration_country
Text

Distinct	184
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Length

Max length	37
Median length	32
Mean length	7.97362
Min length	4

Characters and Unicode

Total characters	398681
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	< 0.1%

Sample

1st row	France
2nd row	Turkey
3rd row	Belarus
4th row	Indonesia
5th row	Egypt

Value	Count	Frequency (%)
indonesia	12018	21.5%
turkey	4472	8.0%
brazil	3067	5.5%
united	2798	5.0%
germany	2130	3.8%
kingdom	1700	3.0%
france	1619	2.9%
thailand	1544	2.8%
italy	1339	2.4%
spain	1236	2.2%
Other values (201)	23867	42.8%

Most occurring characters

Value	Count	Frequency (%)
a	48512	12.2%
n	45013	11.3%
e	37273	9.3%
i	36019	9.0%
d	22506	5.6%
o	22375	5.6%
r	21238	5.3%
s	17340	4.3%
I	14907	3.7%
l	14068	3.5%
Other values (44)	119430	30.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	398681	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	48512	12.2%
n	45013	11.3%
e	37273	9.3%
i	36019	9.0%
d	22506	5.6%
o	22375	5.6%
r	21238	5.3%
s	17340	4.3%
I	14907	3.7%
l	14068	3.5%
Other values (44)	119430	30.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	398681	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	48512	12.2%
n	45013	11.3%
e	37273	9.3%
i	36019	9.0%
d	22506	5.6%
o	22375	5.6%
r	21238	5.3%
s	17340	4.3%
I	14907	3.7%
l	14068	3.5%
Other values (44)	119430	30.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	398681	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	48512	12.2%
n	45013	11.3%
e	37273	9.3%
i	36019	9.0%
d	22506	5.6%
o	22375	5.6%
r	21238	5.3%
s	17340	4.3%
I	14907	3.7%
l	14068	3.5%
Other values (44)	119430	30.0%

registration_store
Categorical

High correlation Imbalance

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

GooglePlay	36017
AppStore	12204
WindowsStore	755
Facebook	660
Huawei	253
Other values (2)	111

Length

Max length	15
Median length	10
Mean length	9.50578
Min length	6

Characters and Unicode

Total characters	475289
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AppStore
2nd row	GooglePlay
3rd row	GooglePlay
4th row	GooglePlay
5th row	AppStore

Common Values

Value	Count	Frequency (%)
GooglePlay	36017	72.0%
AppStore	12204	24.4%
WindowsStore	755	1.5%
Facebook	660	1.3%
Huawei	253	0.5%
GooglePlayForPC	105	0.2%
Catappult	6	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
googleplay	36017	72.0%
appstore	12204	24.4%
windowsstore	755	1.5%
facebook	660	1.3%
huawei	253	0.5%
googleplayforpc	105	0.2%
catappult	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	87383	18.4%
l	72250	15.2%
e	49994	10.5%
a	37047	7.8%
P	36227	7.6%
G	36122	7.6%
g	36122	7.6%
y	36122	7.6%
p	24420	5.1%
r	13064	2.7%
Other values (16)	46538	9.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	475289	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	87383	18.4%
l	72250	15.2%
e	49994	10.5%
a	37047	7.8%
P	36227	7.6%
G	36122	7.6%
g	36122	7.6%
y	36122	7.6%
p	24420	5.1%
r	13064	2.7%
Other values (16)	46538	9.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	475289	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	87383	18.4%
l	72250	15.2%
e	49994	10.5%
a	37047	7.8%
P	36227	7.6%
G	36122	7.6%
g	36122	7.6%
y	36122	7.6%
p	24420	5.1%
r	13064	2.7%
Other values (16)	46538	9.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	475289	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	87383	18.4%
l	72250	15.2%
e	49994	10.5%
a	37047	7.8%
P	36227	7.6%
G	36122	7.6%
g	36122	7.6%
y	36122	7.6%
p	24420	5.1%
r	13064	2.7%
Other values (16)	46538	9.8%

registration_season_day
Real number (ℝ)

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.61398

Minimum	1
Maximum	28
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	7
median	13
Q3	21
95-th percentile	27
Maximum	28
Range	27
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.048579
Coefficient of variation (CV)	0.59119956
Kurtosis	-1.1781655
Mean	13.61398
Median Absolute Deviation (MAD)	7
Skewness	0.13684414
Sum	680699
Variance	64.779624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
8	2273	4.5%
1	2244	4.5%
5	2128	4.3%
7	2125	4.2%
4	1989	4.0%
15	1972	3.9%
2	1969	3.9%
3	1951	3.9%
6	1891	3.8%
14	1885	3.8%
Other values (18)	29573	59.1%

Value	Count	Frequency (%)
1	2244	4.5%
2	1969	3.9%
3	1951	3.9%
4	1989	4.0%
5	2128	4.3%
6	1891	3.8%
7	2125	4.2%
8	2273	4.5%
9	1884	3.8%
10	1835	3.7%

Value	Count	Frequency (%)
28	1608	3.2%
27	1476	3.0%
26	1382	2.8%
25	1444	2.9%
24	1524	3.0%
23	1572	3.1%
22	1851	3.7%
21	1728	3.5%
20	1635	3.3%
19	1555	3.1%

registration_channel_detailed
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Paid	24678
Organic	22745
Unknown	2577

Length

Max length	7
Median length	7
Mean length	5.51932
Min length	4

Characters and Unicode

Total characters	275966
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Organic
2nd row	Unknown
3rd row	Organic
4th row	Paid
5th row	Organic

Common Values

Value	Count	Frequency (%)
Paid	24678	49.4%
Organic	22745	45.5%
Unknown	2577	5.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
paid	24678	49.4%
organic	22745	45.5%
unknown	2577	5.2%

Most occurring characters

Value	Count	Frequency (%)
a	47423	17.2%
i	47423	17.2%
n	30476	11.0%
P	24678	8.9%
d	24678	8.9%
O	22745	8.2%
r	22745	8.2%
g	22745	8.2%
c	22745	8.2%
U	2577	0.9%
Other values (3)	7731	2.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	275966	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	47423	17.2%
i	47423	17.2%
n	30476	11.0%
P	24678	8.9%
d	24678	8.9%
O	22745	8.2%
r	22745	8.2%
g	22745	8.2%
c	22745	8.2%
U	2577	0.9%
Other values (3)	7731	2.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	275966	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	47423	17.2%
i	47423	17.2%
n	30476	11.0%
P	24678	8.9%
d	24678	8.9%
O	22745	8.2%
r	22745	8.2%
g	22745	8.2%
c	22745	8.2%
U	2577	0.9%
Other values (3)	7731	2.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	275966	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	47423	17.2%
i	47423	17.2%
n	30476	11.0%
P	24678	8.9%
d	24678	8.9%
O	22745	8.2%
r	22745	8.2%
g	22745	8.2%
c	22745	8.2%
U	2577	0.9%
Other values (3)	7731	2.8%

registration_device_type
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Phone	45694
Tablet	2891
PC	1415

Length

Max length	6
Median length	5
Mean length	4.97292
Min length	2

Characters and Unicode

Total characters	248646
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Phone
2nd row	Phone
3rd row	Phone
4th row	Phone
5th row	Phone

Common Values

Value	Count	Frequency (%)
Phone	45694	91.4%
Tablet	2891	5.8%
PC	1415	2.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
phone	45694	91.4%
tablet	2891	5.8%
pc	1415	2.8%

Most occurring characters

Value	Count	Frequency (%)
e	48585	19.5%
P	47109	18.9%
h	45694	18.4%
o	45694	18.4%
n	45694	18.4%
T	2891	1.2%
a	2891	1.2%
b	2891	1.2%
l	2891	1.2%
t	2891	1.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	248646	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	48585	19.5%
P	47109	18.9%
h	45694	18.4%
o	45694	18.4%
n	45694	18.4%
T	2891	1.2%
a	2891	1.2%
b	2891	1.2%
l	2891	1.2%
t	2891	1.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	248646	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	48585	19.5%
P	47109	18.9%
h	45694	18.4%
o	45694	18.4%
n	45694	18.4%
T	2891	1.2%
a	2891	1.2%
b	2891	1.2%
l	2891	1.2%
t	2891	1.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	248646	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	48585	19.5%
P	47109	18.9%
h	45694	18.4%
o	45694	18.4%
n	45694	18.4%
T	2891	1.2%
a	2891	1.2%
b	2891	1.2%
l	2891	1.2%
t	2891	1.2%

registration_device_manufacturer
Text

Distinct	166
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Length

Max length	36
Median length	26
Mean length	6.12882
Min length	2

Characters and Unicode

Total characters	306441
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80 ?
Unique (%)	0.2%

Sample

1st row	Apple
2nd row	Xiaomi
3rd row	Xiaomi
4th row	OPPO
5th row	Apple

Value	Count	Frequency (%)
apple	12068	23.4%
samsung	11816	22.9%
xiaomi	9687	18.8%
oppo	3119	6.0%
vivo	2298	4.4%
realme	2200	4.3%
unknown	1813	3.5%
infinix	1467	2.8%
motorola	1464	2.8%
huawei	1139	2.2%
Other values (154)	4587	8.9%

Most occurring characters

Value	Count	Frequency (%)
a	25583	8.3%
m	25190	8.2%
s	24231	7.9%
p	24167	7.9%
i	21920	7.2%
o	19154	6.3%
n	17795	5.8%
e	17534	5.7%
l	16665	5.4%
A	13309	4.3%
Other values (49)	100893	32.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	306441	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	25583	8.3%
m	25190	8.2%
s	24231	7.9%
p	24167	7.9%
i	21920	7.2%
o	19154	6.3%
n	17795	5.8%
e	17534	5.7%
l	16665	5.4%
A	13309	4.3%
Other values (49)	100893	32.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	306441	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	25583	8.3%
m	25190	8.2%
s	24231	7.9%
p	24167	7.9%
i	21920	7.2%
o	19154	6.3%
n	17795	5.8%
e	17534	5.7%
l	16665	5.4%
A	13309	4.3%
Other values (49)	100893	32.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	306441	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	25583	8.3%
m	25190	8.2%
s	24231	7.9%
p	24167	7.9%
i	21920	7.2%
o	19154	6.3%
n	17795	5.8%
e	17534	5.7%
l	16665	5.4%
A	13309	4.3%
Other values (49)	100893	32.9%

session_count
Real number (ℝ)

High correlation

Distinct	34
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.25444

Minimum	0
Maximum	52
Zeros	240
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	52
Range	52
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.107337
Coefficient of variation (CV)	0.93474964
Kurtosis	30.291855
Mean	2.25444
Median Absolute Deviation (MAD)	1
Skewness	3.8362964
Sum	112722
Variance	4.4408691
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
1	24529	49.1%
2	11608	23.2%
3	5301	10.6%
4	3274	6.5%
5	1801	3.6%
6	1111	2.2%
7	689	1.4%
8	436	0.9%
9	301	0.6%
0	240	0.5%
Other values (24)	710	1.4%

Value	Count	Frequency (%)
0	240	0.5%
1	24529	49.1%
2	11608	23.2%
3	5301	10.6%
4	3274	6.5%
5	1801	3.6%
6	1111	2.2%
7	689	1.4%
8	436	0.9%
9	301	0.6%

Value	Count	Frequency (%)
52	1	< 0.1%
47	1	< 0.1%
38	1	< 0.1%
33	1	< 0.1%
32	1	< 0.1%
30	1	< 0.1%
28	1	< 0.1%
26	3	< 0.1%
25	3	< 0.1%
24	7	< 0.1%

playtime
Real number (ℝ)

High correlation

Distinct	49357
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.315468

Minimum	0
Maximum	969.55977
Zeros	240
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.84042
Q1	5.8783417
median	19.197433
Q3	43.483663
95-th percentile	107.45487
Maximum	969.55977
Range	969.55977
Interquartile range (IQR)	37.605321

Descriptive statistics

Standard deviation	40.880019
Coefficient of variation (CV)	1.2650295
Kurtosis	28.573793
Mean	32.315468
Median Absolute Deviation (MAD)	15.701283
Skewness	3.5891723
Sum	1615773.4
Variance	1671.176
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	240	0.5%
6.081416667	3	< 0.1%
40.16773333	3	< 0.1%
1.967866667	3	< 0.1%
0.4678333333	2	< 0.1%
0.6544833333	2	< 0.1%
2.676383333	2	< 0.1%
0.4318833333	2	< 0.1%
4.649516667	2	< 0.1%
31.46425	2	< 0.1%
Other values (49347)	49739	99.5%

Value	Count	Frequency (%)
0	240	0.5%
0.007133333333	1	< 0.1%
0.01176666667	1	< 0.1%
0.01351666667	1	< 0.1%
0.01846666667	1	< 0.1%
0.0191	1	< 0.1%
0.01953333333	1	< 0.1%
0.03146666667	1	< 0.1%
0.03665	1	< 0.1%
0.037	1	< 0.1%

Value	Count	Frequency (%)
969.5597667	1	< 0.1%
902.6277167	1	< 0.1%
698.9254833	1	< 0.1%
673.3630333	1	< 0.1%
628.7657167	1	< 0.1%
616.14725	1	< 0.1%
579.4904833	1	< 0.1%
567.5388167	1	< 0.1%
534.24525	1	< 0.1%
526.6736667	1	< 0.1%

number_of_devices_used
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

1	49376
2	369
0	240
3	14
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	49376	98.8%
2	369	0.7%
0	240	0.5%
3	14	< 0.1%
4	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	49376	98.8%
2	369	0.7%
0	240	0.5%
3	14	< 0.1%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	49376	98.8%
2	369	0.7%
0	240	0.5%
3	14	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	49376	98.8%
2	369	0.7%
0	240	0.5%
3	14	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	49376	98.8%
2	369	0.7%
0	240	0.5%
3	14	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	49376	98.8%
2	369	0.7%
0	240	0.5%
3	14	< 0.1%
4	1	< 0.1%

total_match_played_count
Real number (ℝ)

High correlation Zeros

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.01376

Minimum	0
Maximum	29
Zeros	20918
Zeros (%)	41.8%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	4
Maximum	29
Range	29
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.6242978
Coefficient of variation (CV)	1.6022509
Kurtosis	30.090695
Mean	1.01376
Median Absolute Deviation (MAD)	1
Skewness	4.3166377
Sum	50688
Variance	2.6383434
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	20918	41.8%
1	20427	40.9%
2	4962	9.9%
3	1161	2.3%
4	569	1.1%
5	494	1.0%
6	406	0.8%
7	331	0.7%
8	276	0.6%
9	141	0.3%
Other values (18)	315	0.6%

Value	Count	Frequency (%)
0	20918	41.8%
1	20427	40.9%
2	4962	9.9%
3	1161	2.3%
4	569	1.1%
5	494	1.0%
6	406	0.8%
7	331	0.7%
8	276	0.6%
9	141	0.3%

Value	Count	Frequency (%)
29	1	< 0.1%
28	1	< 0.1%
27	1	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
21	5	< 0.1%
20	3	< 0.1%
19	5	< 0.1%
18	5	< 0.1%

total_match_watched_count
Real number (ℝ)

High correlation Zeros

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.35814

Minimum	0
Maximum	19
Zeros	39284
Zeros (%)	78.6%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	19
Range	19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.95195266
Coefficient of variation (CV)	2.6580462
Kurtosis	37.545697
Mean	0.35814
Median Absolute Deviation (MAD)	0
Skewness	4.958619
Sum	17907
Variance	0.90621386
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	39284	78.6%
1	7438	14.9%
2	1685	3.4%
3	690	1.4%
4	321	0.6%
5	239	0.5%
6	134	0.3%
7	96	0.2%
8	44	0.1%
9	34	0.1%
Other values (7)	35	0.1%

Value	Count	Frequency (%)
0	39284	78.6%
1	7438	14.9%
2	1685	3.4%
3	690	1.4%
4	321	0.6%
5	239	0.5%
6	134	0.3%
7	96	0.2%
8	44	0.1%
9	34	0.1%

Value	Count	Frequency (%)
19	1	< 0.1%
16	1	< 0.1%
15	3	< 0.1%
14	4	< 0.1%
13	5	< 0.1%
11	5	< 0.1%
10	16	< 0.1%
9	34	0.1%
8	44	0.1%
7	96	0.2%

transaction_count_iap
Real number (ℝ)

High correlation Skewed Zeros

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0204

Minimum	0
Maximum	15
Zeros	49445
Zeros (%)	98.9%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	15
Range	15
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.25216088
Coefficient of variation (CV)	12.360828
Kurtosis	808.14979
Mean	0.0204
Median Absolute Deviation (MAD)	0
Skewness	22.60005
Sum	1020
Variance	0.063585112
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	49445	98.9%
1	331	0.7%
2	119	0.2%
3	50	0.1%
4	25	0.1%
5	13	< 0.1%
6	7	< 0.1%
8	4	< 0.1%
9	2	< 0.1%
7	2	< 0.1%

Value	Count	Frequency (%)
0	49445	98.9%
1	331	0.7%
2	119	0.2%
3	50	0.1%
4	25	0.1%
5	13	< 0.1%
6	7	< 0.1%
7	2	< 0.1%
8	4	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
15	2	< 0.1%
9	2	< 0.1%
8	4	< 0.1%
7	2	< 0.1%
6	7	< 0.1%
5	13	< 0.1%
4	25	0.1%
3	50	0.1%
2	119	0.2%
1	331	0.7%

transaction_count_rewarded_video
Real number (ℝ)

High correlation Zeros

Distinct	59
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.40398

Minimum	0
Maximum	58
Zeros	34493
Zeros (%)	69.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	6
Maximum	58
Range	58
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	4.4706756
Coefficient of variation (CV)	3.1842872
Kurtosis	58.598554
Mean	1.40398
Median Absolute Deviation (MAD)	0
Skewness	6.9188343
Sum	70199
Variance	19.98694
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34493	69.0%
1	5215	10.4%
2	2754	5.5%
3	1694	3.4%
4	1682	3.4%
5	1252	2.5%
6	743	1.5%
7	405	0.8%
8	297	0.6%
9	205	0.4%
Other values (49)	1260	2.5%

Value	Count	Frequency (%)
0	34493	69.0%
1	5215	10.4%
2	2754	5.5%
3	1694	3.4%
4	1682	3.4%
5	1252	2.5%
6	743	1.5%
7	405	0.8%
8	297	0.6%
9	205	0.4%

Value	Count	Frequency (%)
58	2	< 0.1%
57	1	< 0.1%
56	3	< 0.1%
55	4	< 0.1%
54	3	< 0.1%
53	4	< 0.1%
52	11	< 0.1%
51	7	< 0.1%
50	6	< 0.1%
49	11	< 0.1%

tokens_spent
Real number (ℝ)

High correlation Skewed Zeros

Distinct	398
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.42196

Minimum	0
Maximum	9182
Zeros	20335
Zeros (%)	40.7%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	10
Q3	70
95-th percentile	119
Maximum	9182
Range	9182
Interquartile range (IQR)	70

Descriptive statistics

Standard deviation	67.34237
Coefficient of variation (CV)	1.8489497
Kurtosis	6844.6676
Mean	36.42196
Median Absolute Deviation (MAD)	10
Skewness	52.981573
Sum	1821098
Variance	4534.9948
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20335	40.7%
5	1065	2.1%
2	582	1.2%
1	510	1.0%
20	493	1.0%
80	471	0.9%
10	454	0.9%
6	421	0.8%
50	415	0.8%
83	413	0.8%
Other values (388)	24841	49.7%

Value	Count	Frequency (%)
0	20335	40.7%
1	510	1.0%
2	582	1.2%
3	382	0.8%
4	369	0.7%
5	1065	2.1%
6	421	0.8%
7	365	0.7%
8	387	0.8%
9	338	0.7%

Value	Count	Frequency (%)
9182	1	< 0.1%
1842	1	< 0.1%
1486	1	< 0.1%
1469	1	< 0.1%
1463	1	< 0.1%
1359	1	< 0.1%
1269	1	< 0.1%
1220	1	< 0.1%
1149	1	< 0.1%
1119	1	< 0.1%

tokens_stash
Real number (ℝ)

High correlation Zeros

Distinct	789
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	90.74456

Minimum	0
Maximum	8261
Zeros	965
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	29
median	83
Q3	113
95-th percentile	211
Maximum	8261
Range	8261
Interquartile range (IQR)	84

Descriptive statistics

Standard deviation	120.16827
Coefficient of variation (CV)	1.3242477
Kurtosis	905.38124
Mean	90.74456
Median Absolute Deviation (MAD)	42
Skewness	19.657883
Sum	4537228
Variance	14440.414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	984	2.0%
0	965	1.9%
84	778	1.6%
2	771	1.5%
3	767	1.5%
83	763	1.5%
81	759	1.5%
85	745	1.5%
80	728	1.5%
87	723	1.4%
Other values (779)	42017	84.0%

Value	Count	Frequency (%)
0	965	1.9%
1	984	2.0%
2	771	1.5%
3	767	1.5%
4	680	1.4%
5	593	1.2%
6	555	1.1%
7	489	1.0%
8	487	1.0%
9	473	0.9%

Value	Count	Frequency (%)
8261	1	< 0.1%
6755	1	< 0.1%
6025	1	< 0.1%
5262	1	< 0.1%
4142	1	< 0.1%
3278	1	< 0.1%
3060	1	< 0.1%
3010	1	< 0.1%
2958	1	< 0.1%
2543	1	< 0.1%

tokens_bought
Real number (ℝ)

High correlation Skewed Zeros

Distinct	53
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7902

Minimum	0
Maximum	9000
Zeros	49700
Zeros (%)	99.4%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	9000
Range	9000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	45.088538
Coefficient of variation (CV)	57.059653
Kurtosis	32186.54
Mean	0.7902
Median Absolute Deviation (MAD)	0
Skewness	167.04834
Sum	39510
Variance	2032.9762
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	49700	99.4%
20	145	0.3%
14	21	< 0.1%
80	21	< 0.1%
37	15	< 0.1%
176	14	< 0.1%
34	10	< 0.1%
100	7	< 0.1%
196	5	< 0.1%
28	4	< 0.1%
Other values (43)	58	0.1%

Value	Count	Frequency (%)
0	49700	99.4%
14	21	< 0.1%
20	145	0.3%
25	1	< 0.1%
28	4	< 0.1%
34	10	< 0.1%
37	15	< 0.1%
45	1	< 0.1%
48	3	< 0.1%
51	1	< 0.1%

Value	Count	Frequency (%)
9000	1	< 0.1%
3020	1	< 0.1%
1307	1	< 0.1%
1211	1	< 0.1%
1051	1	< 0.1%
1031	1	< 0.1%
852	2	< 0.1%
617	1	< 0.1%
537	1	< 0.1%
534	1	< 0.1%

rests_stash
Real number (ℝ)

High correlation

Distinct	1074
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	306.03252

Minimum	0
Maximum	1438
Zeros	169
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	67
Q1	148
median	223
Q3	381
95-th percentile	915
Maximum	1438
Range	1438
Interquartile range (IQR)	233

Descriptive statistics

Standard deviation	237.83553
Coefficient of variation (CV)	0.7771577
Kurtosis	2.0560623
Mean	306.03252
Median Absolute Deviation (MAD)	87
Skewness	1.5991885
Sum	15301626
Variance	56565.739
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1030	589	1.2%
145	412	0.8%
149	380	0.8%
147	374	0.7%
146	373	0.7%
148	364	0.7%
143	358	0.7%
141	354	0.7%
150	353	0.7%
153	349	0.7%
Other values (1064)	46094	92.2%

Value	Count	Frequency (%)
0	169	0.3%
1	71	0.1%
2	52	0.1%
3	49	0.1%
4	46	0.1%
5	41	0.1%
6	52	0.1%
7	37	0.1%
8	35	0.1%
9	25	0.1%

Value	Count	Frequency (%)
1438	1	< 0.1%
1163	1	< 0.1%
1124	1	< 0.1%
1099	1	< 0.1%
1085	1	< 0.1%
1084	1	< 0.1%
1072	1	< 0.1%
1071	1	< 0.1%
1068	1	< 0.1%
1067	1	< 0.1%

rests_spent
Real number (ℝ)

High correlation Zeros

Distinct	434
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.80798

Minimum	0
Maximum	959
Zeros	31205
Zeros (%)	62.4%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	24
95-th percentile	145
Maximum	959
Range	959
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	53.736718
Coefficient of variation (CV)	2.1661061
Kurtosis	22.395338
Mean	24.80798
Median Absolute Deviation (MAD)	0
Skewness	3.7006928
Sum	1240399
Variance	2887.6349
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	31205	62.4%
22	801	1.6%
1	561	1.1%
11	452	0.9%
2	448	0.9%
12	292	0.6%
157	288	0.6%
18	277	0.6%
24	256	0.5%
23	250	0.5%
Other values (424)	15170	30.3%

Value	Count	Frequency (%)
0	31205	62.4%
1	561	1.1%
2	448	0.9%
3	224	0.4%
4	238	0.5%
5	131	0.3%
6	162	0.3%
7	115	0.2%
8	247	0.5%
9	157	0.3%

Value	Count	Frequency (%)
959	1	< 0.1%
948	1	< 0.1%
815	1	< 0.1%
805	1	< 0.1%
799	1	< 0.1%
798	1	< 0.1%
737	1	< 0.1%
707	1	< 0.1%
644	1	< 0.1%
636	1	< 0.1%

morale_spent
Real number (ℝ)

High correlation Zeros

Distinct	180
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.94448

Minimum	0
Maximum	361
Zeros	33901
Zeros (%)	67.8%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	6
95-th percentile	22
Maximum	361
Range	361
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	13.810084
Coefficient of variation (CV)	2.7930306
Kurtosis	71.791202
Mean	4.94448
Median Absolute Deviation (MAD)	0
Skewness	6.863805
Sum	247224
Variance	190.71841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	33901	67.8%
10	1799	3.6%
9	1766	3.5%
8	1563	3.1%
7	1165	2.3%
11	1015	2.0%
6	1001	2.0%
5	688	1.4%
1	647	1.3%
4	555	1.1%
Other values (170)	5900	11.8%

Value	Count	Frequency (%)
0	33901	67.8%
1	647	1.3%
2	430	0.9%
3	472	0.9%
4	555	1.1%
5	688	1.4%
6	1001	2.0%
7	1165	2.3%
8	1563	3.1%
9	1766	3.5%

Value	Count	Frequency (%)
361	1	< 0.1%
292	1	< 0.1%
276	1	< 0.1%
256	1	< 0.1%
245	1	< 0.1%
240	1	< 0.1%
216	4	< 0.1%
211	1	< 0.1%
201	2	< 0.1%
200	1	< 0.1%

money_stash
Real number (ℝ)

High correlation

Distinct	48650
Distinct (%)	97.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2042835 × 10⁸

Minimum	0
Maximum	2.2249259 × 10⁹
Zeros	27
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	19539959
Q1	39930339
median	1.7809436 × 10⁸
Q3	8.2807859 × 10⁸
95-th percentile	1.2419809 × 10⁹
Maximum	2.2249259 × 10⁹
Range	2.2249259 × 10⁹
Interquartile range (IQR)	7.8814825 × 10⁸

Descriptive statistics

Standard deviation	4.4636556 × 10⁸
Coefficient of variation (CV)	1.0616923
Kurtosis	-0.90046669
Mean	4.2042835 × 10⁸
Median Absolute Deviation (MAD)	1.5709152 × 10⁸
Skewness	0.78434862
Sum	2.1021418 × 10¹³
Variance	1.9924222 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	27	0.1%
20978179	8	< 0.1%
20976822	8	< 0.1%
79859286	8	< 0.1%
20977822	7	< 0.1%
20978215	7	< 0.1%
20977750	6	< 0.1%
79853929	6	< 0.1%
20978322	6	< 0.1%
20976715	6	< 0.1%
Other values (48640)	49911	99.8%

Value	Count	Frequency (%)
0	27	0.1%
310863	1	< 0.1%
395577	1	< 0.1%
404640	1	< 0.1%
504408	1	< 0.1%
961300	1	< 0.1%
1959513	1	< 0.1%
2009832	1	< 0.1%
2366943	1	< 0.1%
2430790	1	< 0.1%

Value	Count	Frequency (%)
2224925880	1	< 0.1%
2036765301	1	< 0.1%
1962456165	1	< 0.1%
1885093571	1	< 0.1%
1870749447	1	< 0.1%
1861381209	1	< 0.1%
1788311600	1	< 0.1%
1779771811	1	< 0.1%
1778082967	1	< 0.1%
1778008043	1	< 0.1%

avg_stars_top_3_players
Real number (ℝ)

High correlation

Distinct	48897
Distinct (%)	97.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.6723753

Minimum	0
Maximum	8.2145777
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	4.58022
Q1	5.2968334
median	5.7348222
Q3	6.0704
95-th percentile	6.5330711
Maximum	8.2145777
Range	8.2145777
Interquartile range (IQR)	0.77356661

Descriptive statistics

Standard deviation	0.57528001
Coefficient of variation (CV)	0.10141783
Kurtosis	0.39354904
Mean	5.6723753
Median Absolute Deviation (MAD)	0.38135566
Skewness	-0.34023398
Sum	283618.77
Variance	0.33094709
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.870933363	3	< 0.1%
5.886266615	3	< 0.1%
5.843822174	3	< 0.1%
5.442977787	3	< 0.1%
6.202800022	3	< 0.1%
6.007777778	3	< 0.1%
5.760444472	3	< 0.1%
5.402844374	3	< 0.1%
5.393733317	3	< 0.1%
5.597466634	3	< 0.1%
Other values (48887)	49970	99.9%

Value	Count	Frequency (%)
0	3	< 0.1%
3.321466649	1	< 0.1%
3.384711109	1	< 0.1%
3.418266661	1	< 0.1%
3.451333364	1	< 0.1%
3.49564448	1	< 0.1%
3.519422184	1	< 0.1%
3.795066681	1	< 0.1%
3.808800049	1	< 0.1%
3.875155504	1	< 0.1%

Value	Count	Frequency (%)
8.214577705	1	< 0.1%
7.946933272	1	< 0.1%
7.922222154	1	< 0.1%
7.912444594	1	< 0.1%
7.904933336	1	< 0.1%
7.894044478	1	< 0.1%
7.709066569	1	< 0.1%
7.699466824	1	< 0.1%
7.689733344	1	< 0.1%
7.653111131	1	< 0.1%

avg_age_top_11_players
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.771246

Minimum	20
Maximum	28
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	20
5-th percentile	21
Q1	22
median	23
Q3	23
95-th percentile	25
Maximum	28
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0616579
Coefficient of variation (CV)	0.046622739
Kurtosis	0.17323706
Mean	22.771246
Median Absolute Deviation (MAD)	1
Skewness	0.37049372
Sum	1138562.3
Variance	1.1271174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
23	17554	35.1%
22	16209	32.4%
24	8623	17.2%
21	4657	9.3%
25	2282	4.6%
26	434	0.9%
20	194	0.4%
27	41	0.1%
22.77124627	3	< 0.1%
28	3	< 0.1%

Value	Count	Frequency (%)
20	194	0.4%
21	4657	9.3%
22	16209	32.4%
22.77124627	3	< 0.1%
23	17554	35.1%
24	8623	17.2%
25	2282	4.6%
26	434	0.9%
27	41	0.1%
28	3	< 0.1%

Value	Count	Frequency (%)
28	3	< 0.1%
27	41	0.1%
26	434	0.9%
25	2282	4.6%
24	8623	17.2%
23	17554	35.1%
22.77124627	3	< 0.1%
22	16209	32.4%
21	4657	9.3%
20	194	0.4%

training_count
Real number (ℝ)

High correlation Zeros

Distinct	174
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.25404

Minimum	0
Maximum	516
Zeros	18588
Zeros (%)	37.2%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	11
Maximum	516
Range	516
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	11.081785
Coefficient of variation (CV)	3.4055467
Kurtosis	556.26023
Mean	3.25404
Median Absolute Deviation (MAD)	1
Skewness	19.681952
Sum	162702
Variance	122.80596
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	18588	37.2%
1	8657	17.3%
2	5406	10.8%
3	4130	8.3%
4	3211	6.4%
5	2307	4.6%
6	1612	3.2%
7	1269	2.5%
8	961	1.9%
9	754	1.5%
Other values (164)	3105	6.2%

Value	Count	Frequency (%)
0	18588	37.2%
1	8657	17.3%
2	5406	10.8%
3	4130	8.3%
4	3211	6.4%
5	2307	4.6%
6	1612	3.2%
7	1269	2.5%
8	961	1.9%
9	754	1.5%

Value	Count	Frequency (%)
516	1	< 0.1%
463	1	< 0.1%
447	1	< 0.1%
424	1	< 0.1%
389	1	< 0.1%
383	1	< 0.1%
369	1	< 0.1%
367	1	< 0.1%
344	1	< 0.1%
336	1	< 0.1%

days_active_first_28_days_after_registration
Real number (ℝ)

High correlation Zeros

Distinct	29
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.44444

Minimum	0
Maximum	28
Zeros	17491
Zeros (%)	35.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	13
95-th percentile	28
Maximum	28
Range	28
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.6981397
Coefficient of variation (CV)	1.302736
Kurtosis	-0.33329809
Mean	7.44444
Median Absolute Deviation (MAD)	2
Skewness	1.1002734
Sum	372222
Variance	94.053914
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
0	17491	35.0%
1	5642	11.3%
28	3184	6.4%
2	3045	6.1%
3	2138	4.3%
4	1648	3.3%
5	1403	2.8%
27	1370	2.7%
6	1165	2.3%
7	1017	2.0%
Other values (19)	11897	23.8%

Value	Count	Frequency (%)
0	17491	35.0%
1	5642	11.3%
2	3045	6.1%
3	2138	4.3%
4	1648	3.3%
5	1403	2.8%
6	1165	2.3%
7	1017	2.0%
8	836	1.7%
9	861	1.7%

Value	Count	Frequency (%)
28	3184	6.4%
27	1370	2.7%
26	898	1.8%
25	762	1.5%
24	664	1.3%
23	573	1.1%
22	543	1.1%
21	531	1.1%
20	493	1.0%
19	541	1.1%

is_payer_lifetime
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

0	43825
1	6175

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	43825	87.6%
1	6175	12.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	43825	87.6%
1	6175	12.3%

Most occurring characters

Value	Count	Frequency (%)
0	43825	87.6%
1	6175	12.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	43825	87.6%
1	6175	12.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	43825	87.6%
1	6175	12.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	43825	87.6%
1	6175	12.3%

days_active_lifetime
Real number (ℝ)

Distinct	521
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.53132

Minimum	1
Maximum	650
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	17
Q3	51
95-th percentile	175
Maximum	650
Range	649
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	66.123853
Coefficient of variation (CV)	1.5547096
Kurtosis	12.398564
Mean	42.53132
Median Absolute Deviation (MAD)	15
Skewness	3.0846103
Sum	2126566
Variance	4372.364
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	3821	7.6%
1	3492	7.0%
3	3045	6.1%
4	2396	4.8%
5	1898	3.8%
6	1510	3.0%
7	1313	2.6%
8	1211	2.4%
9	987	2.0%
10	975	1.9%
Other values (511)	29352	58.7%

Value	Count	Frequency (%)
1	3492	7.0%
2	3821	7.6%
3	3045	6.1%
4	2396	4.8%
5	1898	3.8%
6	1510	3.0%
7	1313	2.6%
8	1211	2.4%
9	987	2.0%
10	975	1.9%

Value	Count	Frequency (%)
650	1	< 0.1%
626	1	< 0.1%
615	1	< 0.1%
611	1	< 0.1%
605	1	< 0.1%
604	1	< 0.1%
590	1	< 0.1%
586	1	< 0.1%
585	1	< 0.1%
580	1	< 0.1%

transaction_count_iap_lifetime
Real number (ℝ)

Zeros

Distinct	129
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.06164

Minimum	0
Maximum	335
Zeros	43825
Zeros (%)	87.6%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	335
Range	335
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6.7633686
Coefficient of variation (CV)	6.3706799
Kurtosis	479.23783
Mean	1.06164
Median Absolute Deviation (MAD)	0
Skewness	17.238154
Sum	53082
Variance	45.743155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	43825	87.6%
1	1828	3.7%
2	885	1.8%
3	608	1.2%
4	408	0.8%
5	332	0.7%
6	246	0.5%
7	180	0.4%
8	171	0.3%
9	144	0.3%
Other values (119)	1373	2.7%

Value	Count	Frequency (%)
0	43825	87.6%
1	1828	3.7%
2	885	1.8%
3	608	1.2%
4	408	0.8%
5	332	0.7%
6	246	0.5%
7	180	0.4%
8	171	0.3%
9	144	0.3%

Value	Count	Frequency (%)
335	1	< 0.1%
323	1	< 0.1%
225	1	< 0.1%
218	1	< 0.1%
206	1	< 0.1%
204	1	< 0.1%
199	1	< 0.1%
197	1	< 0.1%
196	1	< 0.1%
179	1	< 0.1%

is_rewarded_video_watcher_lifetime
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

1	31622
0	18378

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	31622	63.2%
0	18378	36.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	31622	63.2%
0	18378	36.8%

Most occurring characters

Value	Count	Frequency (%)
1	31622	63.2%
0	18378	36.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	31622	63.2%
0	18378	36.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	31622	63.2%
0	18378	36.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	31622	63.2%
0	18378	36.8%

Interactions

Correlations

	avg_age_top_11_players	avg_stars_top_3_players	days_active_first_28_days_after_registration	days_active_lifetime	is_payer_lifetime	is_rewarded_video_watcher_lifetime	money_stash	morale_spent	number_of_devices_used	playtime	registration_channel_detailed	registration_device_type	registration_platform_specific	registration_season_day	registration_store	rests_spent	rests_stash	session_count	tokens_bought	tokens_spent	tokens_stash	total_match_played_count	total_match_watched_count	training_count	transaction_count_iap	transaction_count_iap_lifetime	transaction_count_rewarded_video	user_id
avg_age_top_11_players	1.000	-0.149	-0.088	-0.033	0.013	0.035	-0.022	-0.076	0.016	-0.132	0.012	0.010	0.007	0.007	0.006	-0.086	-0.005	-0.075	-0.010	-0.119	0.040	-0.038	-0.060	-0.123	-0.017	-0.017	-0.092	0.000
avg_stars_top_3_players	-0.149	1.000	0.420	0.226	0.201	0.201	0.192	0.385	0.065	0.609	0.058	0.044	0.035	-0.002	0.036	0.445	0.055	0.352	0.097	0.582	-0.310	0.209	0.307	0.501	0.145	0.175	0.369	-0.022
days_active_first_28_days_after_registration	-0.088	0.420	1.000	0.318	0.103	0.226	0.193	0.338	0.036	0.588	0.051	0.064	0.041	-0.023	0.028	0.376	0.065	0.381	0.071	0.390	-0.213	0.124	0.288	0.462	0.098	0.100	0.382	-0.013
days_active_lifetime	-0.033	0.226	0.318	1.000	0.316	0.344	0.418	0.135	0.014	0.183	0.065	0.036	0.023	-0.010	0.011	0.090	0.248	0.121	0.016	0.068	-0.040	0.030	0.080	0.113	0.026	0.355	0.193	-0.001
is_payer_lifetime	0.013	0.201	0.103	0.316	1.000	0.246	0.159	0.037	0.017	0.026	0.045	0.044	0.091	0.010	0.081	0.046	0.099	0.000	0.028	0.019	0.009	0.025	0.018	0.000	0.101	0.213	0.077	0.108
is_rewarded_video_watcher_lifetime	0.035	0.201	0.226	0.344	0.246	1.000	0.205	0.033	0.012	0.075	0.033	0.129	0.142	0.015	0.150	0.057	0.097	0.069	0.000	0.004	0.003	0.060	0.068	0.029	0.017	0.057	0.137	0.083
money_stash	-0.022	0.192	0.193	0.418	0.159	0.205	1.000	0.072	0.041	0.029	0.148	0.054	0.059	0.003	0.049	0.032	0.678	0.010	0.012	-0.067	0.249	-0.025	-0.022	0.028	0.025	0.173	0.123	-0.073
morale_spent	-0.076	0.385	0.338	0.135	0.037	0.033	0.072	1.000	0.000	0.517	0.005	0.000	0.000	0.024	0.000	0.754	-0.194	0.321	0.070	0.442	-0.308	0.220	0.320	0.523	0.092	0.077	0.354	-0.022
number_of_devices_used	0.016	0.065	0.036	0.014	0.017	0.012	0.041	0.000	1.000	0.037	0.190	0.052	0.049	0.012	0.039	0.023	0.041	0.070	0.044	0.033	0.002	0.033	0.017	0.000	0.010	0.005	0.027	0.019
playtime	-0.132	0.609	0.588	0.183	0.026	0.075	0.029	0.517	0.037	1.000	0.021	0.044	0.040	-0.003	0.037	0.630	-0.101	0.565	0.090	0.703	-0.417	0.340	0.542	0.760	0.116	0.065	0.548	-0.007
registration_channel_detailed	0.012	0.058	0.051	0.065	0.045	0.033	0.148	0.005	0.190	0.021	1.000	0.149	0.202	0.053	0.206	0.021	0.101	0.005	0.000	0.015	0.030	0.012	0.014	0.008	0.006	0.026	0.028	0.098
registration_device_type	0.010	0.044	0.064	0.036	0.044	0.129	0.054	0.000	0.052	0.044	0.149	1.000	1.000	0.011	0.725	0.020	0.037	0.019	0.000	0.000	0.000	0.013	0.011	0.000	0.004	0.000	0.030	0.076
registration_platform_specific	0.007	0.035	0.041	0.023	0.091	0.142	0.059	0.000	0.049	0.040	0.202	1.000	1.000	0.008	0.715	0.017	0.051	0.019	0.004	0.000	0.010	0.016	0.013	0.000	0.017	0.000	0.022	0.071
registration_season_day	0.007	-0.002	-0.023	-0.010	0.010	0.015	0.003	0.024	0.012	-0.003	0.053	0.011	0.008	1.000	0.010	-0.004	-0.005	-0.012	-0.006	-0.041	0.037	-0.093	-0.050	0.002	-0.004	0.012	-0.024	-0.007
registration_store	0.006	0.036	0.028	0.011	0.081	0.150	0.049	0.000	0.039	0.037	0.206	0.725	0.715	0.010	1.000	0.011	0.047	0.014	0.000	0.000	0.006	0.012	0.011	0.000	0.014	0.000	0.021	0.063
rests_spent	-0.086	0.445	0.376	0.090	0.046	0.057	0.032	0.754	0.023	0.630	0.021	0.020	0.017	-0.004	0.011	1.000	-0.264	0.368	0.084	0.552	-0.395	0.268	0.389	0.672	0.110	0.058	0.401	-0.010
rests_stash	-0.005	0.055	0.065	0.248	0.099	0.097	0.678	-0.194	0.041	-0.101	0.101	0.037	0.051	-0.005	0.047	-0.264	1.000	-0.049	-0.018	-0.148	0.426	-0.085	-0.111	-0.151	-0.013	0.084	0.010	-0.076
session_count	-0.075	0.352	0.381	0.121	0.000	0.069	0.010	0.321	0.070	0.565	0.005	0.019	0.019	-0.012	0.014	0.368	-0.049	1.000	0.063	0.371	-0.195	0.295	0.373	0.412	0.078	0.011	0.335	-0.030
tokens_bought	-0.010	0.097	0.071	0.016	0.028	0.000	0.012	0.070	0.044	0.090	0.000	0.000	0.004	-0.006	0.000	0.084	-0.018	0.063	1.000	0.109	-0.047	0.035	0.048	0.078	0.735	0.115	0.073	-0.003
tokens_spent	-0.119	0.582	0.390	0.068	0.019	0.004	-0.067	0.442	0.033	0.703	0.015	0.000	0.000	-0.041	0.000	0.552	-0.148	0.371	0.109	1.000	-0.686	0.240	0.350	0.553	0.131	0.045	0.322	0.002
tokens_stash	0.040	-0.310	-0.213	-0.040	0.009	0.003	0.249	-0.308	0.002	-0.417	0.030	0.000	0.010	0.037	0.006	-0.395	0.426	-0.195	-0.047	-0.686	1.000	-0.158	-0.236	-0.323	-0.061	0.000	-0.135	-0.046
total_match_played_count	-0.038	0.209	0.124	0.030	0.025	0.060	-0.025	0.220	0.033	0.340	0.012	0.013	0.016	-0.093	0.012	0.268	-0.085	0.295	0.035	0.240	-0.158	1.000	0.581	0.242	0.043	0.009	0.166	0.010
total_match_watched_count	-0.060	0.307	0.288	0.080	0.018	0.068	-0.022	0.320	0.017	0.542	0.014	0.011	0.013	-0.050	0.011	0.389	-0.111	0.373	0.048	0.350	-0.236	0.581	1.000	0.373	0.067	0.022	0.266	-0.001
training_count	-0.123	0.501	0.462	0.113	0.000	0.029	0.028	0.523	0.000	0.760	0.008	0.000	0.000	0.002	0.000	0.672	-0.151	0.412	0.078	0.553	-0.323	0.242	0.373	1.000	0.103	0.059	0.545	-0.015
transaction_count_iap	-0.017	0.145	0.098	0.026	0.101	0.017	0.025	0.092	0.010	0.116	0.006	0.004	0.017	-0.004	0.014	0.110	-0.013	0.078	0.735	0.131	-0.061	0.043	0.067	0.103	1.000	0.163	0.092	-0.003
transaction_count_iap_lifetime	-0.017	0.175	0.100	0.355	0.213	0.057	0.173	0.077	0.005	0.065	0.026	0.000	0.000	0.012	0.000	0.058	0.084	0.011	0.115	0.045	0.000	0.009	0.022	0.059	0.163	1.000	0.130	0.021
transaction_count_rewarded_video	-0.092	0.369	0.382	0.193	0.077	0.137	0.123	0.354	0.027	0.548	0.028	0.030	0.022	-0.024	0.021	0.401	0.010	0.335	0.073	0.322	-0.135	0.166	0.266	0.545	0.092	0.130	1.000	-0.011
user_id	0.000	-0.022	-0.013	-0.001	0.108	0.083	-0.073	-0.022	0.019	-0.007	0.098	0.076	0.071	-0.007	0.063	-0.010	-0.076	-0.030	-0.003	0.002	-0.046	0.010	-0.001	-0.015	-0.003	0.021	-0.011	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	user_id	registration_time_utc	registration_platform_specific	registration_country	registration_store	registration_season_day	registration_channel_detailed	registration_device_type	registration_device_manufacturer	session_count	playtime	number_of_devices_used	total_match_played_count	total_match_watched_count	transaction_count_iap	transaction_count_rewarded_video	tokens_spent	tokens_stash	tokens_bought	rests_stash	rests_spent	morale_spent	money_stash	avg_stars_top_3_players	avg_age_top_11_players	training_count	days_active_first_28_days_after_registration	is_payer_lifetime	days_active_lifetime	transaction_count_iap_lifetime	is_rewarded_video_watcher_lifetime
0	5	2024-05-25 01:26:48	iOS Phone	France	AppStore	7	Organic	Phone	Apple	1	2.351033	1	2	0	0	0	0	114	0	524	0	0	1066076772	5.451511	22.0	0	0	0	19	0	1
1	7	2024-06-14 20:09:31	Android Phone	Turkey	GooglePlay	27	Unknown	Phone	Xiaomi	1	8.695900	1	0	0	0	0	0	157	0	962	0	0	1224446429	5.303822	22.0	1	0	0	24	0	1
2	13	2024-05-31 09:06:51	Android Phone	Belarus	GooglePlay	13	Organic	Phone	Xiaomi	2	28.386383	1	0	0	0	0	20	232	0	829	0	0	1221792142	5.746889	24.0	3	0	0	222	0	1
3	23	2024-05-31 04:00:33	Android Phone	Indonesia	GooglePlay	13	Paid	Phone	OPPO	4	53.028333	1	3	1	0	0	79	8	0	180	39	9	928112709	6.692578	22.0	7	1	0	2	0	1
4	25	2024-06-15 19:56:05	iOS Phone	Egypt	AppStore	28	Organic	Phone	Apple	5	97.782017	1	1	1	0	0	77	70	0	209	80	2	326553498	5.775289	24.0	6	3	0	19	0	1
5	34	2024-06-04 11:23:49	iOS Phone	Spain	AppStore	17	Paid	Phone	Apple	6	55.080083	1	2	1	0	2	37	118	0	448	22	39	1182306069	6.028800	23.0	2	5	0	111	0	1
6	35	2024-05-25 18:58:57	Android Phone	Brazil	GooglePlay	7	Paid	Phone	samsung	1	16.513550	1	0	0	0	0	5	87	0	511	0	0	1216470714	6.161334	22.0	3	26	1	36	3	1
7	36	2024-05-29 11:20:56	Android Phone	Germany	GooglePlay	11	Paid	Phone	samsung	2	60.578217	1	1	1	2	0	306	5	213	1008	24	6	1093692628	6.314888	22.0	1	0	0	1	0	0
8	39	2024-06-04 14:00:39	Android Phone	Iraq	GooglePlay	17	Paid	Phone	samsung	1	9.479500	1	1	0	0	0	0	105	0	437	0	0	1307801234	5.333778	23.0	0	0	0	55	0	1
9	45	2024-05-25 20:05:22	Android Phone	Spain	GooglePlay	7	Paid	Phone	Xiaomi	1	19.669950	1	5	0	0	0	50	31	0	677	0	0	1214279285	6.391689	23.0	1	2	0	4	0	1

	user_id	registration_time_utc	registration_platform_specific	registration_country	registration_store	registration_season_day	registration_channel_detailed	registration_device_type	registration_device_manufacturer	session_count	playtime	number_of_devices_used	total_match_played_count	transaction_count_rewarded_video	tokens_spent	tokens_stash	rests_stash	rests_spent	morale_spent	money_stash	avg_stars_top_3_players	avg_age_top_11_players	training_count	days_active_first_28_days_after_registration	is_payer_lifetime	days_active_lifetime	transaction_count_iap_lifetime	is_rewarded_video_watcher_lifetime
49990	218923	2024-05-24 08:12:17	iOS Phone	Turkey	AppStore	6	Organic	Phone	Apple	1	20.708150	1	1	1	74	13	203	0	0	724971838	6.355422	22.0	2	0	1	43	2	1
49991	218924	2024-06-03 13:56:15	WebGL FB Canvas	Spain	Facebook	16	Organic	PC	Unknown	2	2.538933	1	1	0	0	95	728	0	0	1108258704	4.349422	24.0	0	0	0	33	0	0
49992	218925	2024-05-22 12:30:42	Android Phone	Belgium	GooglePlay	4	Paid	Phone	samsung	2	2.279400	1	1	0	0	8	1030	0	0	1053080883	4.839645	22.0	0	20	0	135	0	1
49993	218932	2024-05-21 15:57:06	Android Phone	Poland	GooglePlay	3	Organic	Phone	motorola	2	37.880233	1	0	0	101	13	172	163	17	168868254	6.127422	25.0	10	7	0	20	0	1
49994	218939	2024-05-30 16:29:57	Android Phone	Indonesia	GooglePlay	12	Unknown	Phone	OPPO	1	6.946017	1	0	0	0	162	593	0	0	1373552935	5.264889	23.0	0	0	1	93	2	1
49995	218943	2024-05-26 13:45:01	iOS Phone	Montenegro	AppStore	8	Organic	Phone	Apple	2	40.668633	1	1	4	181	8	622	103	10	258337268	6.038222	24.0	7	10	0	9	0	0
49996	218947	2024-05-29 08:54:43	Android Phone	Indonesia	GooglePlay	11	Unknown	Phone	Xiaomi	2	13.240983	1	1	0	1	194	267	0	0	1346944347	6.129333	24.0	5	0	0	259	0	1
49997	218948	2024-06-04 05:18:42	Android Phone	Indonesia	GooglePlay	17	Organic	Phone	Xiaomi	1	24.279567	1	1	2	61	26	601	179	68	1049928950	5.737466	21.0	0	27	0	15	0	1
49998	218949	2024-05-27 01:57:37	Android Phone	Indonesia	GooglePlay	9	Paid	Phone	realme	3	33.607533	1	1	0	15	111	525	0	0	1287003702	5.835422	22.0	3	23	0	92	0	0
49999	218956	2024-06-03 15:25:35	Android Phone	Indonesia	GooglePlay	16	Paid	Phone	OPPO	1	24.481083	1	1	0	17	72	454	45	9	974469666	6.806444	22.0	3	9	0	116	0	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category